Analysis of a generalised expectation–maximisation algorithm for Gaussian mixture models: a control systems perspective

DOI10.1080/00207179.2021.1931964zbMath1500.93051arXiv1903.00979OpenAlexW3163480284MaRDI QIDQ5043530

Sarthak Chatterjee, Sérgio Pequito, Orlando Romero

Publication date: 6 October 2022

Published in: International Journal of Control (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1903.00979

zbMATH Keywords

output regulationlinear multivariable systemsstatistical data analysisrobust control applications

Mathematics Subject Classification ID

Sensitivity (robustness) (93B35) Feedback control (93B52) Multivariable systems, multidimensional control systems (93C35) Linear systems in control theory (93C05)

Cites Work

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• Statistical guarantees for the EM algorithm: from population to sample-based analysis
• On the convergence properties of the EM algorithm
• Kullback proximal algorithms for maximum-likelihood estimation
• Analysis and Design of Optimization Algorithms via Integral Quadratic Constraints
• Analysis of Optimization Algorithms via Integral Quadratic Constraints: Nonstrongly Convex Problems
• On EM algorithms and their proximal generalizations
• A note on \(Q\)-order of convergence

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